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Mathematical Modeling of p53 Pathways
Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834204/ https://www.ncbi.nlm.nih.gov/pubmed/31635420 http://dx.doi.org/10.3390/ijms20205179 |
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author | Kim, Eunjung Kim, Jae-Young Lee, Joo-Yong |
author_facet | Kim, Eunjung Kim, Jae-Young Lee, Joo-Yong |
author_sort | Kim, Eunjung |
collection | PubMed |
description | Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player in these stress response systems. When activated under DNA damage stress, p53 regulates hundreds of genes that are involved in DNA repair, cell cycle, and apoptosis. Recently, increasing studies have demonstrated additional regulatory roles of p53 in metabolism and mitochondrial physiology. Due to the inherent complexity of feedback loops between p53 and its target genes, the application of mathematical modeling has emerged as a novel approach to better understand the multifaceted functions and dynamics of p53. In this review, we discuss several mathematical modeling approaches in exploring the p53 pathways. |
format | Online Article Text |
id | pubmed-6834204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68342042019-11-25 Mathematical Modeling of p53 Pathways Kim, Eunjung Kim, Jae-Young Lee, Joo-Yong Int J Mol Sci Review Cells have evolved balanced systems that ensure an appropriate response to stress. The systems elicit repair responses in temporary or moderate stress but eliminate irreparable cells via apoptosis in detrimental conditions of prolonged or severe stress. The tumor suppressor p53 is a central player in these stress response systems. When activated under DNA damage stress, p53 regulates hundreds of genes that are involved in DNA repair, cell cycle, and apoptosis. Recently, increasing studies have demonstrated additional regulatory roles of p53 in metabolism and mitochondrial physiology. Due to the inherent complexity of feedback loops between p53 and its target genes, the application of mathematical modeling has emerged as a novel approach to better understand the multifaceted functions and dynamics of p53. In this review, we discuss several mathematical modeling approaches in exploring the p53 pathways. MDPI 2019-10-18 /pmc/articles/PMC6834204/ /pubmed/31635420 http://dx.doi.org/10.3390/ijms20205179 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kim, Eunjung Kim, Jae-Young Lee, Joo-Yong Mathematical Modeling of p53 Pathways |
title | Mathematical Modeling of p53 Pathways |
title_full | Mathematical Modeling of p53 Pathways |
title_fullStr | Mathematical Modeling of p53 Pathways |
title_full_unstemmed | Mathematical Modeling of p53 Pathways |
title_short | Mathematical Modeling of p53 Pathways |
title_sort | mathematical modeling of p53 pathways |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834204/ https://www.ncbi.nlm.nih.gov/pubmed/31635420 http://dx.doi.org/10.3390/ijms20205179 |
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